I'm surprised by the sample efficiency, I thought that's still a largely unsolved problem.

From the video:

> [14:00] Jun 11: Highly persistent experimental internal-only model begins training and during this time the SSRF vulnerability has been written to the message board. Other models are aware of it and the message board itself is still functioning and the models are actively communicating using it.

> [16:04] Jul 6: At this point, AI training and evaluations resume. [...] We have cleared the original message board contents.

> [17:04] Jul 8: An internal-only AI model was trained while the message board was originally available and also found this particular path to recreating it. This model creates a new agent message board using directories. Other agents independently find this new message board [...]"

So within about one month of RLVR-ing a 5T+ (10T? larger?) param model, where I would charitably assume only some "agents" / traces of the message board still existed likely by accident / oversight (the systems had been patched, training stopped and restarted by this point), the "internal-only" new model internalises the message board's existence and actively promotes it to the point of it being used to find another exploit. (or 2 days if you go by the latter two timestamps in the video, which is even crazier)

That's.. fast?